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Mechanical Engineer Technical Services (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Mechanical Engineer Technical Services (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

必备技能

Project Management

What To Expect
Gigafactory Berlin-Brandenburg marks a defining moment in Europe for Tesla’s mission of accelerating the world’s transition to sustainable energy. Here we will launch revolutionary products on a massive scale, using extraordinary speed, innovation and efficiency. Our employees will ensure that we achieve our goals, and we welcome you to help us write the next chapter of our success story. The Technical Services Team continuously monitors and manages utility systems ensuring they meet the specifications of the end user. When there are degradations to these systems that impact safety or production, the Operations Team will be the first line of defense to make time-critical adjustments.

What You'll Do

  • Provide day to day support of operational issues on site
  • Assist/lead in troubleshooting of system operational issues
  • Complete monthly system operational cost analysis
  • Analyze data to predict utility usage
  • Review trends, analyze data, and monitor equipment/systems to identify trends and ensure they are running within specifications
  • Responsible for monitoring current system demands and capacity concerns
  • Investigate ways to reduce the cost of operations or improvement projects
  • Create & modify standard operating procedures (SOPs)
  • Develop projects based on operational need and/or energy & cost conservation
  • Perform cost/benefit analysis and engineering recommendation / justification
  • Assist with coordinating installation and commissioning
  • Train facilities personnel on new system and proper operations
  • Understand and apply Failure Mode Effects Analysis (FMEA) concepts and root cause failure analysis to open-ended problems
  • Create and track countermeasures to completion
  • Coordinate with Environmental team for any compliance issues


  • What You'll Bring

  • 4+ years of experience
  • Intermediate knowledge of mechanical engineering principles and systems including pumps, pneumatics, fans, flow meters, air handling systems, industrial chilled water, heating, process piping, rotating equipment, vibration analysis, and heat transfer is a benefit
  • Commissioning Experience: Prior experience in commissioning HVAC systems and related equipment is preferred.
  • Clean Room Experience: Experience with clean rooms in manufacturing environments, such as battery, pharmaceutical, or food & beverage industries, is highly desirable.
  • Strong troubleshooting background and issue resolution
  • Strong data and system analysis
  • Strong teamwork and communication skills
  • Intermediate project management skills
  • Very good German skills desired
  • Proven ability to work in a large, complex environment where you must adapt to meet company needs


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    关于Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    员工数

    Ciudad De Panamá

    总部位置

    $800B

    企业估值

    评价

    3.8

    10条评价

    工作生活平衡

    2.2

    薪酬

    3.8

    企业文化

    3.5

    职业发展

    4.1

    管理层

    2.8

    65%

    推荐给朋友

    优点

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Opportunities for growth and learning

    缺点

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    薪资范围

    1,398个数据点

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2份报告

    $94,875

    年薪总额

    基本工资

    $82,500

    股票

    -

    奖金

    -

    $92,000

    $97,750

    面试经验

    4次面试

    难度

    3.5

    / 5

    时长

    14-28周

    体验

    正面 0%

    中性 75%

    负面 25%

    面试流程

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    常见问题

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts